Yichu Chen, Gu Gong, Kate Jones, Gianni Spiga
2022-11-29
library(survival)
library(KMsurv)
library(ggplot2)
library(ggpubr)
library(survminer)
library(plotly)
library(muhaz)
library(ggthemes)
library(plyr)Loading in Data
## [1] FALSE
Take a look at correlation between symptoms and different infection types.
Is it more common for one type of infection based on type of sex (oral/anal).
## Call:
## survdiff(formula = surv_object ~ iinfct, data = std)
##
## N Observed Expected (O-E)^2/E (O-E)^2/V
## iinfct=gonorrhea 140 73 54.5 6.28042 7.50617
## iinfct=chlamydia 396 135 153.0 2.12201 3.81136
## iinfct=both 341 139 139.5 0.00166 0.00278
##
## Chisq= 8.5 on 2 degrees of freedom, p= 0.01